Metabolic and carbohydrate characteristics of different phenotypes of polycystic ovary syndrome
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Original Investigation
VOLUME: 17 ISSUE: 4
P: 201 - 208
December 2016

Metabolic and carbohydrate characteristics of different phenotypes of polycystic ovary syndrome

J Turk Ger Gynecol Assoc 2016;17(4):201-208
1. Department Of Obstetrics And Gynecology, Inönü University School Of Medicine, Malatya, Turkey
2. Department Of Obstetrics And Gynecology, Koç University School Of Medicine, Istanbul, Turkey
3. Department Of Clinical Biochemistry, Inönü University School Of Medicine, Malatya, Turkey
4. Department Of Obstetrics And Gynecology, Ankara University School Of Medicine, Ankara, Turkey
No information available.
No information available
Received Date: 01.08.2016
Accepted Date: 27.10.2016
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ABSTRACT

Objective:

To compare the prevalence of various metabolic and cardiovascular risk factors and insulin resistance between polycystic ovary syndrome (PCOS) patients with or without hyperandrogenism.

Material and Methods:

This is a retrospective cross-sectional study involving women with PCOS as diagnosed according to the Androgen Excess (AE) Society definition (n=504) and women with normoandrogenemic PCOS (n=183). Anthropometrics, lipid profile, glucose, insulin, oral glucose tolerance test (OGTT), and reproductive hormone levels were evaluated.

Results:

Women with PCOS diagnosed according to the AE Society had a significantly higher prevalence of metabolic syndrome compared with the normoandrogenemic PCOS phenotype: odds ratio (OR) 2.95 [95% confidence interval (CI) 1.21–7.21]. There was no significant difference in the prevalence glucose intolerance test between the groups [OR: 2.15, 95% CI 0.71–6.56]. The prevalence of low high density lipoprotein (HDL)-cholesterol in the group under the AE-PCOS Society criteria was higher than that of the normoandrogenemic PCOS group [OR: 2.82, 95%CI 1.29–3.36].

Conclusion:

The risks of metabolic syndrome and cardiovascular disease may vary among the phenotypes of PCOS based on the Rotterdam criteria. This new data may be of reference in informing women with PCOS, although further prospective studies are needed to validate this proposition.

Keywords:
Polycystic ovary syndrome, diagnostic categories, metabolic syndrome, hyperanderogenism, insulin resistance